High priority requirement for IBM Data Quality Analyst / Engineer

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Rahul Teja

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Sep 17, 2020, 11:36:26 AM9/17/20
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Hello Partners,

Please check the following requirement and share your consultant profiles to E-Mail: ra...@lor-venk.com / ph- 804-554-1121 / 919-689-5606.


Role: IBM Data Quality Analyst / Engineer

Location: New Jersey NJ

Client: Sumitomo

Duration: Long term

Any visa is accepted / H1B transfers also accepted

Minimum Experience: 6+ years Mandatory


Primary Skills:

Identify Data Quality Rules.
Implement Data Quality Rules.
Setting up of Quality Rules.
Data Mapping.
Validation of Data.
Extraction of data.
Responsible for Data Governance.

IBM Skills:

 IBM - Information Server, Quality stage and Big Quality  

Tools:

Information Analyzer

Quality Stage (good to have).

Responsibilities:

·         Create a strategy for accessing data and determining the appropriate levels of AML risk management.

·         Create training objectives for relevant first and second lines of defense personnel.

·         Evaluate AML Compliance business processes, and uncover areas for improving information sharing.

·         Perform regular data quality checks to ensure all reported information is accurate and relevant.

·         Provide robust data usage and analytics reports to the BSA Officer, and ultimately, the Anti-Money Laundering Oversight Committee.

 Qualifications and Required Skills:

·         Minimum of five years of specialized experience.

·         Oracle database experience- High knowledge of Microsoft Office Suite (Excel, Word, Power Point)- Bachelor's degree in computer science, MIS or a related field.

·         Technically savvy problem-solver who is not afraid to sift through large amounts of data.

·         Information system management skills.

·         Data analytics skills.

·         Strong interpersonal and communication skills (verbal and writing).

·         Ability to work well independently or within groups.

·         Management of processes requiring a hands on approach.

·         Excellent organizational skills.

·         Attention to detail.

·         Ability to manage multiple tasks and deliver a quality work product.

·         Ability to quickly adapt to changing tasks and workload

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